36 Winchelsea Street, Pialba, QLD 4655 sold on 13 August 2025 | OnTheHouse
SOLD
Sold on 13 Aug 2025 - Price Unavailable

36 Winchelsea Street
Pialba QLD 4655

Bedrooms: 3
Bathrooms: 2
Car spaces: 1
Land area: 845m2
Save

Property Details for 36 Winchelsea St, Pialba

36 Winchelsea St, Pialba is a 3 bedroom, 2 bathroom House with 1 parking spaces. The property has a land size of 845m2. While the property is not currently for sale or for rent, it was last sold in August 2025. There are other 3 bedroom House sold in Pialba in the last 12 months.

Building Type
House
Land Size
845m2

Last Listing description (August 2025)

Located in a central and convenient part of Pialba, this solid three bedroom, two bathroom home offers space, practicality and potential on a generous block.

The layout includes an original kitchen, air conditioned main living area, ample storage, and a separate laundry for everyday convenience.

Outdoors features a good sized backyard, covered entertaining space and a shed, perfect for extra storage or hobbies.

With a mix of comfort and opportunity, this property is ideal for those wanting to secure a well located home with room to add value.

Call now to arrange an inspection.

Property History for 36 Winchelsea St, Pialba, QLD 4655

A timeline of how this property has performed in the market
Last Sold
13 Aug 2025
Listed for Rent
$400/w
05 Mar 2023
  • 13 Aug 2025
    Sold for $580,000
  • 28 Jul 2025
    Listed for Sale Submit Offer
  • 13 Jan 2023
    Listed for Rent $400 / week
Sign in to see more transactions
Commute Calculator

About Pialba 4655

The size of Pialba is approximately 4.9 square kilometres. It has 13 parks covering nearly 20.2% of total area. The population of Pialba in 2016 was 3678 people. By 2021 the population was 4151 showing a population growth of 12.9% in the area during that time. The predominant age group in Pialba is 60-69 years. Households in Pialba are primarily childless couples and are likely to be repaying $1000 - $1399 per month on mortgage repayments. In general, people in Pialba work in a professional occupation.In 2021, 54.00% of the homes in Pialba were owner-occupied compared with 49.40% in 2016.

Pialba has 3,186 properties. Over the last 5 years, Houses in Pialba have seen a 106.27% increase in median value, while Units have seen a 122.97% increase. As at 31 January 2026:

  • The median value for Houses in Pialba is $745,882 while the median value for Units is $597,651.
  • Houses have a median rent of $620 while Units have a median rent of $568.
There are currently 33 properties listed for sale, and 20 properties listed for rent in Pialba on OnTheHouse. According to Cotality's data, 187 properties were sold in the past 12 months in Pialba.

Suburb Insights for Pialba 4655

Market Insights
Pialba Trends for Houses
Median Value

N/A

-
View Trend
Median Growth

N/A

View Trend
Median Rent

N/A

-
View Trend
Rental Yield

N/A

-
View Trend
Median Value: The middle value of all properties across the geography based on the Automated Valuation Model.


Median Value over 1 year
Pialba Trends for Units
Median Value

N/A

-
View Trend
Median Growth

N/A

View Trend
Median Rent

N/A

-
View Trend
Rental Yield

N/A

-
View Trend
Median Value: The middle value of all properties across the geography based on the Automated Valuation Model.


Median Value over 1 year
Neighbourhood Insights
Age
Household
Occupancy
No data to show
Contact agent
agent headshot
Graham Cockerill
Show contact details
agent headshot
Zac Binstead
Raine & Horne Hervey Bay
Preferred contact:
Cotality Copyright and Legal Disclaimers about Property Data
Disclaimer
The Cotality Data provided in this publication is of a general nature and should not be construed as specific advice or relied upon in lieu of appropriate professional advice.

While Cotality uses commercially reasonable efforts to ensure the Cotality Data is current, Cotality does not warrant the accuracy, currency or completeness of the Cotality Data and to the full extent permitted by law excludes all loss or damage howsoever arising (including through negligence) in connection with the Cotality Data.